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[HTML][HTML] A review on deep learning in UAV remote sensing
Abstract Deep Neural Networks (DNNs) learn representation from data with an impressive
capability, and brought important breakthroughs for processing images, time-series, natural …
capability, and brought important breakthroughs for processing images, time-series, natural …
Conditional reconstruction for open-set semantic segmentation
Open set segmentation is a relatively new and unexplored task, with just a handful of
methods proposed to model such tasks. We propose a novel method called CoReSeg that …
methods proposed to model such tasks. We propose a novel method called CoReSeg that …
Dense out-of-distribution detection by robust learning on synthetic negative data
Standard machine learning is unable to accommodate inputs which do not belong to the
training distribution. The resulting models often give rise to confident incorrect predictions …
training distribution. The resulting models often give rise to confident incorrect predictions …